code: def meta_deform_conv2d_backward(
      grad,
      input,
      weight,
      offset,
      mask,
      bias,
      stride_h,
      stride_w,
      pad_h,
      pad_w,
      dilation_h,
      dilation_w,
      groups,
      offset_groups,
      use_mask,
  ):
      grad_input = input.new_empty(input.shape)
      grad_weight = weight.new_empty(weight.shape)
      grad_offset = offset.new_empty(offset.shape)
      grad_mask = mask.new_empty(mask.shape)
      grad_bias = bias.new_empty(bias.shape)
      return grad_input, grad_weight, grad_offset, grad_mask, grad_bias
  
file_path: vision/torchvision/_meta_registrations.py
imports: import functools
  import torch
  import torch._custom_ops
  import torch.library
  import torchvision.extension
label_desc: Use image node_id 13 for calling a global function with example usage: meta_deform_conv2d_backward(grad, input, weight, offset, mask, bias, stride_h, stride_w, pad_h, pad_w, dilation_h, dilation_w, groups, offset_groups, use_mask) and returns: grad_input,  grad_weight,  grad_offset,  grad_mask,  grad_bias